Items related to Probability Theory: An Introductory Course
Synopsis
Sinai's book leads the student through the standard material for Probability Theory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, based on Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be used by more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.
"synopsis" may belong to another edition of this title.
Language Notes
Text: English (translation)
Original Language: Russian
"About this title" may belong to another edition of this title.
- PublisherSpringer-Verlag
- Publication date1992
- ISBN 10 0387533486
- ISBN 13 9780387533483
- BindingPaperback
- LanguageEnglish
- Number of pages138
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Probability Theory: An Introductory Course
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Probability Theory: An Introductory Course (Springer Textbook)
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Probability Theory: An Introductory Course.
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